# WebScout

- **Event:** [WeaveHacks 3: Self-Improving Agents Hackathon with Weights & Biases](https://cerebralvalley.ai/e/weave-hacks-3-self-improving-agents-hackathon-with-weights-and-biases-7014fe80)
- **When:** Jan 31 at 9:00 AM – Feb 1 at 5:00 PM (PST)
- **Where:** 400 California St, San Francisco, CA
- **Team:** [Nihal Nihalani](https://cerebralvalley.ai/u/nihalnihalani), [Yahya Alhinai](https://cerebralvalley.ai/u/yhinai)
- **GitHub:** https://github.com/nihalnihalani/WebScout
- **Demo video:** https://youtu.be/jWPj-5ritdo
- **Gallery:** https://cerebralvalley.ai/e/weave-hacks-3-self-improving-agents-hackathon-with-weights-and-biases-7014fe80/hackathon/gallery
- **Page:** https://cerebralvalley.ai/e/weave-hacks-3-self-improving-agents-hackathon-with-weights-and-biases-7014fe80/hackathon/gallery/34

WebScout is a self-improving web scraping agent that learns from every success and failure. Traditional scrapers break silently when sites change and repeat the    
  same mistakes. WebScout solves this with a 6-stage learning loop: it searches a vector cache for patterns that worked on similar pages, reuses high-confidence      
  matches instantly, or extracts fresh data with GPT-4o and Stagehand. Failed extractions trigger four recovery strategies including autonomous browsing and          
  cross-model Gemini analysis. Every successful pattern is stored as a vector embedding for reuse, and every step is traced through Weave. The result is measurable   
  improvement: cache hits climb from 14% to 83%, speed improves 3.7x, and success rates reach 100%.

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Markdown version of https://cerebralvalley.ai/e/weave-hacks-3-self-improving-agents-hackathon-with-weights-and-biases-7014fe80/hackathon/gallery/34. Site index for agents: https://cerebralvalley.ai/llms.txt · full text: https://cerebralvalley.ai/llms-full.txt